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  • Mlops

MLOps Courses

MLOps courses can help you learn deployment strategies, model monitoring, and continuous integration and delivery for machine learning projects. You can build skills in automating workflows, managing data pipelines, and ensuring compliance with governance standards. Many courses introduce tools like TensorFlow, Kubernetes, and MLflow, that support operationalizing AI models and streamlining collaboration between data scientists and IT teams.

Popular MLOps Courses and Certifications


  • G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Quality, Data Cleansing, Machine Learning Methods

    ★ 4.6 (4.4K) · Intermediate · Specialization · 3 - 6 Months

  • L

    LearnQuest

    Foundations of AI Governance and Responsible Development

    Skills you'll gain: Responsible AI, Audit Working Papers, Governance, Governance Risk Management and Compliance, Compliance Management, Accountability Frameworks, Compliance Auditing, Internal Auditing, Data Governance, Regulatory Compliance, Audit Planning, Technical Communication, Auditing, Compliance Reporting, Model Training, MLOps (Machine Learning Operations), Regulatory Requirements, Accountability, Model Deployment, Risk Management

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimizing and Deploying Computer Vision Models

    Skills you'll gain: Model Evaluation, Model Training, Image Analysis, Model Optimization, Computer Vision, Model Deployment, Image Quality, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Manipulation, Performance Metric

    Intermediate · Course · 1 - 3 Months

  • B

    Board Infinity

    Managing AI Systems: Development, Deployment, and Governance

    Skills you'll gain: AI Security, AI Orchestration, MLOps (Machine Learning Operations), Model Deployment, Vulnerability Assessments, AI Workflows, Governance Risk Management and Compliance, Retrieval-Augmented Generation, Responsible AI, Compliance Auditing, LLM Application, Personally Identifiable Information, Regulatory Compliance, Regulatory Requirements, Application Deployment, Generative Model Architectures, Decision Intelligence, Model Training, Cloud Deployment, Artificial Intelligence

    Intermediate · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning

    ★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

  • C

    Coursera

    Deploy Vector DBs Securely

    Skills you'll gain: Vector Databases, Grafana, Containerization, Role-Based Access Control (RBAC), Docker (Software), MLOps (Machine Learning Operations), Application Deployment, AI Security, Enterprise Security, Scalability, Data Access, Authorization (Computing), Dashboard Creation, Encryption, Cryptographic Protocols, Performance Tuning, System Monitoring, Infrastructure Security, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Engineering & Pipeline Reliability for Machine Learning

    Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 3 Months

  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    ★ 4.6 (1.1K) · Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Deploy, Manage, and Orchestrate Your Models

    Skills you'll gain: Kubernetes, Docker (Software), Containerization, Application Deployment

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Training, Evaluating, and Monitoring Machine Learning Models

    Skills you'll gain: Model Evaluation, Model Training, MLOps (Machine Learning Operations), System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Statistical Methods, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Architect AI Systems: From Concept to Code

    Skills you'll gain: Systems Architecture, AI Workflows, Process Modeling, Model Based Systems Engineering, System Design and Implementation, Systems Analysis, Enterprise Modeling, Model Training, Diagram Design, Dataflow, MLOps (Machine Learning Operations), Requirements Management

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Building Cloud Computing Solutions at Scale

    Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Technologies, Cloud Services, Cloud Hosting, CI/CD, Cloud Platforms, Cloud Computing, Azure DevOps Pipelines, Application Deployment, Cloud Engineering, Software Engineering, Cloud Development, Continuous Delivery, Applied Machine Learning, Cloud API, Machine Learning

    ★ 4.4 (509) · Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular mlops courses

  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Foundations of AI Governance and Responsible Development: LearnQuest
  • Optimizing and Deploying Computer Vision Models: Coursera
  • Managing AI Systems: Development, Deployment, and Governance: Board Infinity
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Deploy Vector DBs Securely: Coursera
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Deploy, Manage, and Orchestrate Your Models: Coursera
  • Training, Evaluating, and Monitoring Machine Learning Models: Coursera

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